Enhanced-Interval Optimal Scheduling of Power-Transportation Interconnected System Considering Pile (Station) Equilibrium Price

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Systems Journal Pub Date : 2024-03-17 DOI:10.1109/JSYST.2024.3398049

Min Hou;Xinrui Liu;Rui Wang;Chaoyu Dong;Qiuye Sun

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Abstract

As the distribution network is affected by the high proportion of renewable energy connected to the grid and the disorderly charging of electric vehicles, how to formulate the optimal scheduling strategy to ensure the safety and stability of the system has become an urgent problem to be solved. Aiming at the uncertainty of the user behavior of the traffic network, a charging pile (station) pricing strategy based on stochastic user equilibrium (SUE) is proposed. The equilibrium electricity price of charging pile (station) is formulated to guide the traffic flow and realize the collaborative optimization of the distribution network. Considering the traffic congestion caused by user behavior, a congestion charging policy is proposed to promote static hybrid SUE. Its feasibility is proved by Karush-Kuhn-Tucker (KKT) condition and variational inequality. In addition, through the introduction of joint pricing center, charging pile (station) electricity price, and congestion charging policy are proposed. Aiming at the uncertainty of system, an enhanced-interval optimal method is established. Finally, the simulation analysis of the power-transportation interconnected system verifies that the congestion charging policy can optimize the unit output, and the enhanced-interval optimal method can solve the uncertain influence, reduce the system cost, and ensure the satisfaction of traffic users.

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考虑桩（站）平衡价格的电力-交通互联系统增强型间隔优化调度

由于配电网受到高比例可再生能源并网以及电动汽车无序充电的影响，如何制定最优调度策略以确保系统安全稳定成为亟待解决的问题。针对交通网络用户行为的不确定性，提出了一种基于随机用户均衡（SUE）的充电桩（站）定价策略。通过制定充电桩（站）的均衡电价来引导交通流，实现配电网的协同优化。考虑到用户行为导致的交通拥堵，提出了促进静态混合 SUE 的拥堵收费政策。其可行性由 Karush-Kuhn-Tucker (KKT) 条件和变分不等式证明。此外，通过引入联合定价中心、充电桩（站）电价，提出了拥堵充电政策。针对系统的不确定性，建立了增强的区间优化方法。最后，通过对电力-交通互联系统的仿真分析，验证了拥堵收费策略可以优化单位产出，增强间隔最优方法可以解决不确定性影响，降低系统成本，确保交通用户的满意度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Systems Journal 工程技术-电信学

CiteScore

9.80

自引率

6.80%

发文量

572

审稿时长

4.9 months

期刊介绍： This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.